Causal discovery of linear non-Gaussian acyclic models in the presence of latent confounders.
Takashi Nicholas MaedaShohei ShimizuPublished in: CoRR (2020)
Keyphrases
- linear non gaussian
- causal discovery
- causal ordering
- causal models
- observational data
- causal structure
- causal relationships
- discovery process
- bayesian networks
- conditional independence
- generating explanations
- directed acyclic graph
- markov blanket
- causal relations
- causal graph
- real world
- experimental data
- causal effects
- structural equation models
- optimal solution
- decision making
- data mining